Seeder control system based on satellite-ground combined enhanced Beidou positioning and control method thereof

Abstract

The invention provides a seeder control system based on satellite-ground combined enhanced Beidou positioning and a control method thereof, and relates to the technical field of agricultural machinery, and the system comprises a satellite-ground combined enhanced Beidou positioning module which is used for receiving signals from a Beidou satellite and a ground base station, and carrying out the real-time enhancement of positioning data, so as to provide high-precision seeder position data, the control module is connected with the satellite-ground combined enhanced Beidou positioning module and used for adjusting working parameters of the seeder according to the high-precision position data, and the working parameters comprise the seeding depth, the seeding interval and the seeding speed. According to the seeder control system based on satellite-ground combined enhanced Beidou positioning and the control method thereof, the positioning precision of the seeder is improved in real time through a differential enhancement technology on the basis of a satellite-ground combined enhanced Beidou positioning system; the problems of inaccurate positioning and inconsistent seeding depth and spacing caused by complex terrains and environmental conditions in the prior art are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of agricultural machinery, and in particular to a seeder control system and a control method thereof based on satellite-ground combined enhanced Beidou positioning. Background Art

[0002] As a crucial piece of machinery in agricultural production, seed drills are widely used in large-scale planting operations. Traditional seed drills primarily rely on mechanical structures and simple control systems to accomplish seed sowing tasks. With technological advancements, modern seed drills have gradually integrated sensor technology, automatic control techniques, and data analysis algorithms, achieving more efficient and precise operations. Existing seed drill control systems typically use sensors to detect environmental factors such as soil moisture, temperature, and crop seed condition, and then adjust sowing parameters to achieve precise control over sowing depth, spacing, and density. These technologies have enhanced seed drill performance, enabling them to meet certain agricultural operational needs and promote the modernization of agricultural production. However, with the continuous advancement of agricultural modernization, traditional seed drills have gradually exposed numerous shortcomings that fail to meet the high-precision and high-efficiency demands of modern agriculture.

[0003] Currently, the core flaw of existing seed drill control systems is that they lack highly intelligent automatic adjustment capabilities. Existing seed drills suffer from insufficient positioning accuracy and inconsistent seeding depth and spacing in complex terrain and environmental conditions. Summary of the Invention

[0004] In response to the shortcomings of the existing technology, the present invention provides a seed drill control system and a control method based on joint satellite-ground enhanced Beidou positioning. The technical problem to be solved by this invention is: how to achieve dynamic optimization of seed drill operating parameters and fault prediction through high-precision positioning and real-time environmental data collection and analysis.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a planter control system based on satellite-ground joint enhanced Beidou positioning, comprising:

[0006] The satellite-ground joint enhanced Beidou positioning module receives signals from Beidou satellites and ground base stations and enhances the positioning data in real time to provide high-precision planter location data;

[0007] a control module connected to the satellite-ground joint enhanced Beidou positioning module, and configured to adjust the operating parameters of the seed drill according to the high-precision position data, the operating parameters including seeding depth, seeding spacing, and seeding speed;

[0008] a sensor module configured to detect soil moisture, temperature, and crop seed status in real time, and feed the data back to the control module for automatic adjustment;

[0009] The display feedback module is configured to display the working status and environmental information of the planter and provide fault diagnosis and real-time alarm functions.

[0010] Preferably, the satellite-ground joint enhanced Beidou positioning module provides centimeter-level positioning information by combining Beidou satellite signals and ground base station signals with differential enhancement technology to meet the requirements of high-precision sowing in complex terrain.

[0011] Preferably, the control module also includes an automatic adjustment algorithm that can dynamically optimize the working parameters of the seeder based on soil and environmental information collected in real time to ensure accuracy and operating efficiency during the sowing process.

[0012] Preferably, the display feedback module automatically triggers an alarm based on abnormal conditions detected by the system, and provides detailed fault information and maintenance suggestions through the user interface.

[0013] A planter control method based on satellite-ground joint enhanced Beidou positioning: S1. Using a satellite-ground joint enhanced Beidou positioning module to receive signals from Beidou satellites and ground base stations, and performing differential enhancement processing on the positioning data to obtain high-precision position data of the planter in real time;

[0014] S2. Based on the high-precision position data, the control module calculates and adjusts the working parameters of the planter in real time;

[0015] S3. Real-time soil moisture, temperature and crop seed status environmental data are collected through the sensor module to form recorded data, which is then transmitted to the control module;

[0016] S4. The control module dynamically optimizes the planter's operating parameters based on real-time environmental data, soil type, and crop requirements through an integrated adaptive algorithm.

[0017] S5. During the operation, if a potential environmental anomaly or mechanical failure is detected, the control module adjusts the operating parameters in advance and triggers an alarm through a fault prediction and automatic correction mechanism to ensure the stable operation of the planter.

[0018] Preferably, the working parameters include sowing depth, sowing spacing and sowing speed to ensure sowing accuracy.

[0019] Preferably, the adaptive algorithm in S4 dynamically optimizes the operating parameters of the seed drill, specifically comprising the following steps:

[0020] The S4.1 control module calculates the optimal parameters for sowing depth, sowing spacing, and sowing speed by performing a weighted analysis of the real-time collected soil moisture, soil temperature, soil type, and crop requirements. The specific formula is as follows:

[0021] D=f(H,T,S,C)

[0022] W=g(H,T,S,C)

[0023] V=h(H,T,S,C)

[0024] in:

[0025] D represents sowing depth, W represents sowing spacing, V represents sowing speed, H represents soil moisture, T represents soil temperature, S represents soil type, and C represents crop type and its growth requirements.

[0026] S4.2. During the optimization process, the control module establishes a correlation model between soil type and crop requirements, adjusting sowing parameters based on the adaptability of different soil and crop types. The optimization process of the correlation model is as follows:

[0027]

[0028] Where: x i represents the influence coefficient of different environmental parameters on sowing parameters, w i is the weight of the parameter, reflecting the contribution of the parameter to the sowing quality, and n is the number of environmental parameters.

[0029] S4.3. The control module adjusts the seeder's operating parameters in real time based on the optimization calculation results and dynamically monitors soil changes during the sowing process to ensure that the operating parameters always remain optimal under different crop requirements and soil changes.

[0030] The adaptive algorithm described in S4 includes a weighted average model based on soil temperature (T) and humidity (H), and the specific calculation formula is:

[0031] D=α1H+α2T+α3S+α4C

[0032] Where: D is the sowing depth, H is the soil moisture, T is the soil temperature, S is the soil type, C is the crop type, α1, α2, α3, α4 are adjustment coefficients, which depend on the degree of influence of different environments.

[0033] Preferably, the fault prediction and automatic correction mechanism in S5 further includes:

[0034] S5.1. The control module utilizes multi-sensor fusion technology to integrate soil temperature, moisture, seeding depth, and soil compaction data to analyze the planter's operating status in real time. A threshold-based algorithm determines whether the planter is operating outside its preset operating range, thereby predicting potential failures or anomalies.

[0035] S5.2. When a potential failure is predicted, the control module automatically adjusts operating parameters using a correction algorithm, such as increasing the seeding speed or adjusting the seeding depth, to adapt to the current environmental changes and maintain operating accuracy.

[0036] S5.3. When a fault risk occurs, the control module triggers an immediate alarm and provides feedback on the specific fault information, fault location and solution through the user interface, providing a fault prediction time window so that the operator can handle it in advance.

[0037] The present invention provides a seed drill control system and control method based on satellite-ground joint enhanced Beidou positioning. It has the following beneficial effects:

[0038] This planter control system and control method based on satellite-ground-enhanced BeiDou positioning, based on a satellite-ground-enhanced BeiDou positioning system, uses differential enhancement technology to improve the planter's positioning accuracy in real time, resolving the existing issues of inaccurate positioning and inconsistent sowing depth and spacing caused by complex terrain and environmental conditions. Using high-precision positioning data, the planter can precisely control the operating path, sowing depth, and sowing speed, ensuring high precision and stability. Furthermore, by monitoring environmental data in real time and dynamically adjusting based on crop needs, this technical solution can automatically adapt to different soil and crop conditions, further improving the adaptability and efficiency of sowing operations.

[0039] This technical solution utilizes an integrated fault prediction and automatic correction mechanism to proactively identify potential faults or environmental anomalies during operation and adjust the planter's operating parameters in real time, thus avoiding operational deviations caused by faults or environmental changes. This fault prediction and correction function significantly reduces downtime, improves operational continuity and stability, and reduces maintenance costs and manual intervention. This ensures the planter can operate efficiently and accurately in a variety of environmental conditions, thereby improving overall agricultural production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a schematic diagram of a structure for realizing the invention;

[0041] Figure 2 It is a flowchart for realizing the invention. DETAILED DESCRIPTION

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0043] like Figure 1-2 As shown, an embodiment of the present invention provides a seed drill control system based on satellite-ground joint enhanced Beidou positioning, including a satellite-ground joint enhanced Beidou positioning module that receives signals from Beidou satellites and ground base stations and enhances the positioning data in real time to provide high-precision seed drill position data. The satellite-ground joint enhanced Beidou positioning module provides centimeter-level positioning information by combining Beidou satellite signals with ground base station signals through differential enhancement technology to meet the requirements of high-precision seeding in complex terrain.

[0044] The control module, connected to the satellite-ground enhanced BeiDou positioning module, adjusts the seeder's operating parameters based on high-precision location data. These parameters include seeding depth, seeding spacing, and seeding speed. The control module also includes an automatic adjustment algorithm that dynamically optimizes the seeder's operating parameters based on real-time soil and environmental information to ensure accuracy and efficiency during seeding.

[0045] A sensor module is configured to detect soil moisture, temperature, and crop seed status in real time, and feed the data back to the control module for automatic adjustment;

[0046] The display feedback module is configured to display the working status and environmental information of the planter and provide fault diagnosis and real-time alarm functions. The display feedback module automatically triggers an alarm based on abnormal conditions detected by the system and provides detailed fault information and maintenance suggestions through the user interface.

[0047] A planter control method based on satellite-ground joint enhanced Beidou positioning, S1. Using a satellite-ground joint enhanced Beidou positioning module to receive signals from Beidou satellites and ground base stations, and performing differential enhancement processing on the positioning data to obtain high-precision position data of the planter in real time;

[0048] S2. Based on high-precision position data, the control module calculates and adjusts the planter's operating parameters in real time, including seeding depth, seeding spacing, and seeding speed, to ensure seeding accuracy.

[0049] S3. Real-time soil moisture, temperature, and crop seed status environmental data are collected through the sensor module to form recorded data, which is then transmitted to the control module;

[0050] The S4 control module uses an integrated adaptive algorithm to dynamically optimize the planter's operating parameters based on real-time environmental data, soil type, and crop requirements to achieve optimal seeding results for different soil and crop needs. The adaptive algorithm in S4 dynamically optimizes the planter's operating parameters, specifically including the following steps:

[0051] The S4.1 control module calculates the optimal parameters for sowing depth, sowing spacing, and sowing speed by performing a weighted analysis of the real-time collected soil moisture, soil temperature, soil type, and crop requirements. The specific formula is as follows:

[0052] D=f(H,T,S,C)

[0053] W=g(H,T,S,C)

[0054] V=h(H,T,S,C)

[0055] in:

[0056] D represents sowing depth, W represents sowing spacing, V represents sowing speed, H represents soil moisture, T represents soil temperature, S represents soil type (for example, sandy soil, clay, etc.), and C represents crop type and its growth requirements (such as crop growth stage, etc.).

[0057] S4.2. During the optimization process, the control module establishes a correlation model between soil type and crop requirements, adjusting sowing parameters based on the adaptability of different soil and crop types. The optimization process of the correlation model is as follows:

[0058]

[0059] Where: x i represents the influence coefficient of different environmental parameters on sowing parameters, w i is the weight of the parameter, reflecting the contribution of the parameter to the sowing quality, and n is the number of environmental parameters.

[0060] This optimization factor will adjust the working status of the seeder based on the real-time collected data to meet the needs of different soils and crops.

[0061] S4.3. The control module adjusts the seeder's operating parameters in real time based on the optimization calculation results and dynamically monitors soil changes during the sowing process to ensure that the operating parameters always remain optimal under different crop requirements and soil changes.

[0062] The adaptive algorithm in S4 includes a weighted average model based on soil temperature (T) and humidity (H). The specific calculation formula is:

[0063] D=α1H+α2T+α3S+α4C

[0064] Where: D is the sowing depth, H is the soil moisture, T is the soil temperature, S is the soil type, C is the crop type, α1, α2, α3, α4 are adjustment coefficients, which depend on the degree of influence of different environments.

[0065] The formula calculates the weight and priority of each operating parameter based on real-time data and dynamically optimizes the sowing depth, sowing spacing and sowing speed to ensure the best sowing effect;

[0066] S5. During operation, if a potential environmental anomaly or mechanical failure is detected, the control module uses a fault prediction and automatic correction mechanism to proactively adjust operating parameters and trigger an alarm to ensure stable operation of the planter. The fault prediction and automatic correction mechanism in S5 further includes:

[0067] S5.1. The control module utilizes multi-sensor fusion technology to integrate soil temperature, moisture, seeding depth, and soil compaction data to analyze the planter's operating status in real time. A threshold-based algorithm determines whether the planter is operating outside its preset operating range, thereby predicting potential failures or anomalies.

[0068] S5.2. When a potential failure is predicted, the control module automatically adjusts operating parameters using a correction algorithm, such as increasing the seeding speed or adjusting the seeding depth, to adapt to the current environmental changes and maintain operating accuracy.

[0069] S5.3. When a fault risk occurs, the control module triggers an immediate alarm and provides feedback on the specific fault information, fault location and solution through the user interface, providing a fault prediction time window so that the operator can handle it in advance.

[0070] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A seed drill control system based on satellite-ground joint enhanced Beidou positioning, characterized in that: include: The satellite-ground joint enhanced Beidou positioning module receives signals from Beidou satellites and ground base stations; a control module connected to the satellite-ground joint enhanced Beidou positioning module, and configured to adjust the operating parameters of the seed drill according to the high-precision position data, the operating parameters including seeding depth, seeding spacing, and seeding speed; a sensor module configured to detect soil moisture, temperature, and crop seed status in real time, and feed the data back to the control module for automatic adjustment; The display feedback module is configured to display the working status and environmental information of the planter and provide fault diagnosis and real-time alarm functions.

2. The planter control system based on satellite-ground joint enhanced Beidou positioning according to claim 1, characterized in that: The satellite-ground joint enhanced Beidou positioning module provides centimeter-level positioning information by combining Beidou satellite signals with ground base station signals through differential enhancement technology.

3. The planter control system based on satellite-ground joint enhanced Beidou positioning according to claim 1 is characterized in that: The control module also includes an automatic adjustment algorithm that can be based on soil and environmental information collected in real time.

4. The planter control system based on satellite-ground joint enhanced Beidou positioning according to claim 1 is characterized in that: The display feedback module automatically triggers an alarm based on abnormal conditions detected by the system and provides detailed fault information and maintenance suggestions through the user interface.

5. A seed drill control method based on satellite-ground joint enhanced Beidou positioning, characterized by: S1. Use the satellite-ground joint enhanced Beidou positioning module to receive signals from Beidou satellites and ground base stations, and perform differential enhancement processing on the positioning data to obtain high-precision position data of the planter in real time; S2. Based on the high-precision position data, the control module calculates and adjusts the working parameters of the planter in real time; S3. Real-time soil moisture, temperature and crop seed status environmental data are collected through the sensor module to form recorded data, and the recorded data is transmitted to the control module; S4. The control module dynamically optimizes the planter's operating parameters based on real-time environmental data, soil type, and crop requirements through an integrated adaptive algorithm. S5. During the operation, if a potential environmental anomaly or mechanical failure is detected, the control module adjusts the operating parameters in advance and triggers an alarm through a fault prediction and automatic correction mechanism.

6. The seed drill control method based on satellite-ground joint enhanced Beidou positioning according to claim 5 is characterized in that: The working parameters include sowing depth, sowing spacing and sowing speed to ensure sowing accuracy.

7. The seed drill control method based on satellite-ground joint enhanced Beidou positioning according to claim 5, characterized in that: The adaptive algorithm described in S4 dynamically optimizes the operating parameters of the seed drill, specifically including the following steps: The S4.1 control module calculates the optimal parameters for sowing depth, sowing spacing, and sowing speed by performing a weighted analysis of the real-time collected soil moisture, soil temperature, soil type, and crop requirements. The specific formula is as follows: D=f(H,T,S,C) W=g(H,T,S,C) V=h(H,T,S,C) in: D represents sowing depth, W represents sowing spacing, V represents sowing speed, H represents soil moisture, T represents soil temperature, S represents soil type, and C represents crop type and its growth requirements; S4.

2. During the optimization process, the control module establishes a correlation model between soil type and crop requirements, adjusting sowing parameters based on the adaptability of different soil and crop types. The optimization process of the correlation model is as follows: Where: x i represents the influence coefficient of different environmental parameters on sowing parameters, w i is the weight of the parameter, reflecting the contribution of the parameter to the sowing quality, and n is the number of environmental parameters; S4.

3. The control module adjusts the seeder's operating parameters in real time based on the optimization calculation results and dynamically monitors soil changes during the sowing process to ensure that operating parameters remain optimal despite varying crop requirements and soil variations. The adaptive algorithm described in S4 includes a weighted average model based on soil temperature (T) and humidity (H), and the specific calculation formula is: D=α1H+α2T+α3S+α4C Where: D is the sowing depth, H is the soil moisture, T is the soil temperature, S is the soil type, C is the crop type, α1, α2, α3, α4 are adjustment coefficients, which depend on the degree of influence of different environments.

8. The seed drill control method based on satellite-ground joint enhanced Beidou positioning according to claim 5 is characterized in that: The fault prediction and automatic correction mechanism in S5 further includes: S5.

1. The control module uses multi-sensor fusion technology to integrate soil temperature, moisture, planting depth, and soil compaction data to analyze the planter's operating status in real time. It then uses a threshold-based algorithm to determine whether the planter is operating outside its preset operating range. S5.

2. When a potential failure is predicted, the control module automatically adjusts operating parameters using a correction algorithm. S5.

3. When a fault risk occurs, the control module triggers an immediate alarm and provides feedback on the specific fault information, fault location, and solution through the user interface.

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